Translation quality can be evaluated with regard to different aspects, such as accuracy (fidelity), fluency and fitness for purpose. In using a machine translation system for information purposes, accuracy of semantic content is the key aspect of quality. Automated quality metrics developed in the machine translation field have been criticized for conflating fluency of form with accuracy of con...

Word selection is an vital factor to improve the quality of machine translation. This paper introduces a new model for word selection based on lexical semantic knowledge, which could deal with the problem significantly better. Meanwhile, the construction of the English lexical semantic knowledge base required for the model in our Chinese-English machine translation system is also discussed in d...

The use of knowledge-based machine translation with controlled technical text can produce high-quality translations. However, building and maintaining knowledge bases can require signiicant time and eeort, since they typically involve hand-coding of semantic preferences. When a system can't disambiguate based on semantic preferences, it can initiate interactive disambiguation with the author to...

the translator of a literary text has to observe the semantic sense of the words, the weight, the cultural setting, and other technical features of the original text to yield an acceptable translation in the tl. the accomplishment however is not that easy, for the translator meets some major impediments in performing the task. a translator who is familiar with different critical approaches, a t...